The cloud market is no longer a one-vendor game. 87% of enterprises now use multi-cloud strategies, and the engineers who can deploy across AWS, Azure, and GCP are commanding $180K-$250K+ salaries.

The Problem

Most DevOps courses teach you one cloud. But in production:

• Your company uses AWS for compute, Azure for Active Directory, and GCP for ML pipelines

• You need Terraform that works across all three

• Kubernetes clusters must communicate cross-cloud

• CI/CD pipelines must deploy everywhere simultaneously

What I Built

Multi-Cloud Infrastructure Mastery is a 25-lesson, 10-module course covering:

• ⚡ Terraform modules that deploy to any cloud with a single variable

• ☸️ Kubernetes on EKS, AKS, and GKE — with Helm, HPA, and StatefulSets

• 🔄 GitOps with ArgoCD — multi-cluster deployments from a single Git repo

• 🔒 Security hardening — Cosign image signing, OPA policies, Falco runtime detection

• 📊 SLO-based observability — Prometheus, Loki, Tempo with burn-rate alerting

• 🏗️ Capstone project — Design and deploy a production platform across all three clouds

Every lesson includes real HCL, YAML, and Go code you can use in production today.

This isn't theory. It's the exact playbook senior SREs use.